It doesn't take a genius to figure out that making memory for AI datacenters is way more profitable than making it for your gaming rig and that most of these big companies are not coming back to the ...

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

Google's TurboQuant combines PolarQuant with Quantized Johnson-Lindenstrauss correction to shrink memory use, raising ...

Following Google's release of TurboQuant, shares of Micron Technology have lost their momentum.

Intel and Nvidia showed off their respective AI-powered texture-compression technologies over the weekend, demonstrating ...

One of the biggest financial headlines of 2026 is big tech's capex spending. The world's biggest cloud and hyperscale ...

Google developed a new compression algorithm that will reduce the memory needed for AI models. If this breakthrough performs ...

Sorry to be a downer.

Google has introduced TurboQuant, a compression algorithm that reduces large language model (LLM) memory usage by at least 6x while boosting performance, targeting one of AI's most persistent ...

New Google technology reduces the memory requirements of AI models. Investors were worried about slowing memory demand, but it's too early to make that call. That sparked fears among Sandisk investors ...

The big picture: Google has developed three AI compression algorithms – TurboQuant, PolarQuant, and Quantized Johnson-Lindenstrauss – designed to significantly reduce the memory footprint of large ...